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Patent indicators for the technology life cycle development

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Cited by:

  1. Yoon, Byungun & Jeong, Yujin & Lee, Keeeun & Lee, Sungjoo, 2020. "A systematic approach to prioritizing R&D projects based on customer-perceived value using opinion mining," Technovation, Elsevier, vol. 98(C).
  2. Lee, Changyong & Kwon, Ohjin & Kim, Myeongjung & Kwon, Daeil, 2018. "Early identification of emerging technologies: A machine learning approach using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 291-303.
  3. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
  4. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
  5. Taeyeoun Roh & Yujin Jeong & Hyejin Jang & Byungun Yoon, 2019. "Technology opportunity discovery by structuring user needs based on natural language processing and machine learning," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-27, October.
  6. Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
  7. Fusillo, Fabrizio, 2023. "Green Technologies and diversity in the knowledge search and output phases: Evidence from European Patents," Research Policy, Elsevier, vol. 52(4).
  8. Carolina Castaldi & Bart Los, 2008. "The identification of important innovations using tail estimators," Innovation Studies Utrecht (ISU) working paper series 08-07, Utrecht University, Department of Innovation Studies, revised Feb 2008.
  9. Yang Pan & Peng Huang & Anandasivam Gopal, 2019. "Storm Clouds on the Horizon? New Entry Threats and R&D Investments in the U.S. IT Industry," Information Systems Research, INFORMS, vol. 30(2), pages 540-562, June.
  10. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
  11. Serkan Altuntas & Zulfiye Erdogan & Turkay Dereli, 2020. "A clustering-based approach for the evaluation of candidate emerging technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1157-1177, August.
  12. Myoungjae Choi & Sun-Hi Yoo & Jongtaik Lee & Jeongsub Choi & Byunghoon Kim, 2022. "A modified gamma/Gompertz/NBD model for estimating technology lifetime," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5731-5751, October.
  13. René Lezama-Nicolás & Marisela Rodríguez-Salvador & Rosa Río-Belver & Iñaki Bildosola, 2018. "A bibliometric method for assessing technological maturity: the case of additive manufacturing," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1425-1452, December.
  14. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
  15. Geoffroy G Dolphin & Michael G Pollitt, 2020. "Identifying innovative actors in the Electricity Supply Industry using machine learning: an application to UK patent data," Working Papers EPRG2004, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  16. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
  17. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
  18. Perruchas, François & Consoli, Davide & Barbieri, Nicolò, 2020. "Specialisation, diversification and the ladder of green technology development," Research Policy, Elsevier, vol. 49(3).
  19. Munari, Federico & Toschi, Laura, 2014. "Running ahead in the nanotechnology gold rush. Strategic patenting in emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 194-207.
  20. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
  21. Albert, Till & Moehrle, Martin G. & Meyer, Stefan, 2015. "Technology maturity assessment based on blog analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 196-209.
  22. So Young Sohn & Eun Jin Han, 2019. "Engineering graduate students’ views on the effective ownership of academic patents," The Journal of Technology Transfer, Springer, vol. 44(1), pages 132-154, February.
  23. Lin, Deming & Liu, Wenbin & Guo, Yinxin & Meyer, Martin, 2021. "Using technological entropy to identify technology life cycle," Journal of Informetrics, Elsevier, vol. 15(2).
  24. Taylor, Margaret & Taylor, Andrew, 2012. "The technology life cycle: Conceptualization and managerial implications," International Journal of Production Economics, Elsevier, vol. 140(1), pages 541-553.
  25. Pao-Long Chang & Chao-Chan Wu & Hoang-Jyh Leu, 2010. "Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 5-19, January.
  26. Xia Fan & Wenjie Liu & Guilong Zhu, 2017. "Scientific linkage and technological innovation capabilities: international comparisons of patenting in the solar energy industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 117-138, April.
  27. Xi Yang & Xiang Yu & Xin Liu, 2018. "Obtaining a Sustainable Competitive Advantage from Patent Information: A Patent Analysis of the Graphene Industry," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
  28. Nguyen, Ai Linh & Liu, Wenyuan & Khor, Khiam Aik & Nanetti, Andrea & Cheong, Siew Ann, 2020. "The golden eras of graphene science and technology: Bibliographic evidences from journal and patent publications," Journal of Informetrics, Elsevier, vol. 14(4).
  29. Lu, Louis Y.Y. & Liu, John S., 2016. "A novel approach to identify the major research themes and development trajectory: The case of patenting research," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 71-82.
  30. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  31. Deeney, Peter & Cummins, Mark & Heintz, Katharina & Pryce, Mary T., 2021. "A real options based decision support tool for R&D investment: Application to CO2 recycling technology," European Journal of Operational Research, Elsevier, vol. 289(2), pages 696-711.
  32. Hui Gao & Suming Wu, 2023. "The Influence of Ambidextrous Knowledge Search on Technological Innovation: The Mediating Role of Knowledge Base," SAGE Open, , vol. 13(4), pages 21582440231, December.
  33. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
  34. MOTOHASHI Kazuyuki & TOMOZAWA Takanori, 2014. "Differences in Science Based Innovation by Technology Life Cycles: The case of solar cell technology," Discussion papers 14005, Research Institute of Economy, Trade and Industry (RIETI).
  35. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
  36. Tischler, Joachim, 2014. "Characteristics of technological base, pace of technological development, and growth of young technology-based firms," EconStor Preprints 96156, ZBW - Leibniz Information Centre for Economics.
  37. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
  38. Xuan Shi & Lingfei Cai & Hongfang Song, 2019. "Discovering Potential Technology Opportunities for Fuel Cell Vehicle Firms: A Multi-Level Patent Portfolio-Based Approach," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
  39. Adamuthe, Amol C. & Thampi, Gopakumaran T., 2019. "Technology forecasting: A case study of computational technologies," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 181-189.
  40. Choi, Jaewoong & Yoon, Janghyeok, 2022. "Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  41. Armin Anzenbacher & Marcus Wagner, 2020. "The role of exploration and exploitation for innovation success: effects of business models on organizational ambidexterity in the semiconductor industry," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 571-594, June.
  42. Lee, Cheng-Yu & Wang, Ming-Chao & Huang, Yen-Chih, 2015. "The double-edged sword of technological diversity in R&D alliances: Network position and learning speed as moderators," European Management Journal, Elsevier, vol. 33(6), pages 450-461.
  43. Yang, Guancan & Lu, Guoxuan & Xu, Shuo & Chen, Liang & Wen, Yuxin, 2023. "Which type of dynamic indicators should be preferred to predict patent commercial potential?," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  44. Fei Gao & De-Li Chen & Min-Hang Weng & Ru-Yuan Yang, 2021. "Revealing Development Trends in Blockchain-Based 5G Network Technologies through Patent Analysis," Sustainability, MDPI, vol. 13(5), pages 1-21, February.
  45. Grashof, Nils, 2020. "Putting the watering can away Towards a targeted (problem-oriented) cluster policy framework," Papers in Innovation Studies 2020/4, Lund University, CIRCLE - Centre for Innovation Research.
  46. Nicoló Barbieri & François Perruchas & Davide Consoli, 2020. "Specialization, Diversification, and Environmental Technology Life Cycle," Economic Geography, Taylor & Francis Journals, vol. 96(2), pages 161-186, March.
  47. Carlsson , Bo, 2016. "Industrial Dynamics: A Review of the Literature 1990-2009," Papers in Innovation Studies 2016/3, Lund University, CIRCLE - Centre for Innovation Research.
  48. Grimaldi, Michele & Cricelli, Livio & Di Giovanni, Martina & Rogo, Francesco, 2015. "The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 286-302.
  49. de Paulo, Alex Fabianne & Nunes, Breno & Porto, Geciane, 2020. "Emerging green technologies for vehicle propulsion systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  50. Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  51. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
  52. Cheng-Wen Lee & Budi Hasyim & Jan-Yan Lin, 2024. "Digital Technology for Supply Chain Management- marketing Integration," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(1), pages 1-4.
  53. Keeeun Lee & Deaun Go & Inchae Park & Byungun Yoon, 2017. "Exploring Suitable Technology for Small and Medium-Sized Enterprises (SMEs) Based on a Hidden Markov Model Using Patent Information and Value Chain Analysis," Sustainability, MDPI, vol. 9(7), pages 1-19, June.
  54. Chung, Park & Sohn, So Young, 2020. "Early detection of valuable patents using a deep learning model: Case of semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  55. Fu, Ben-Ran & Hsu, Sung-Wei & Liu, Chih-Hsi & Liu, Yu-Ching, 2014. "Statistical analysis of patent data relating to the organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 986-994.
  56. WANG, La-yin & ZHAO, Dong, 2021. "Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  57. Zhao, Ruikai & Zhao, Li & Deng, Shuai & Zheng, Nan, 2015. "Trends in patents for solar thermal utilization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 852-862.
  58. Stephane Ruiz-Coupeau & Björn Jürgens & Michaela Keßelring & Victor Herrero-Solana, 2020. "Sustainability in Mineral Exploration—Exploring Less Invasive Technologies via Patent Analysis," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
  59. Raja Roy & Soumodip Sarkar, 2022. "Boundary conditions of the mutual forbearance hypothesis: Impact of technology evolution on multimarket competition," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2545-2556, September.
  60. Ackermann, Malte & Brenner, Thomas & Lorenz, Steffi & Stephan, Michael, 2011. "Die Entwicklung der technologischen Wissensbasis in technologiegetriebenen Industrien am Beispiel der deutschen Solarindustrie: Eine empirische Analyse der Akteure und ihrer Herkunft," Discussion Papers on Strategy and Innovation 11-05, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
  61. Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
  62. Nils Grashof, 2020. "Spill over or Spill out? - A multilevel analysis of the cluster and firm performance relationship," Papers in Evolutionary Economic Geography (PEEG) 2013, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.
  63. Juram Kim & Changyong Lee, 2017. "Stochastic service life cycle analysis using customer reviews," The Service Industries Journal, Taylor & Francis Journals, vol. 37(5-6), pages 296-316, April.
  64. Lizin, Sebastien & Leroy, Julie & Delvenne, Catherine & Dijk, Marc & De Schepper, Ellen & Van Passel, Steven, 2013. "A patent landscape analysis for organic photovoltaic solar cells: Identifying the technology's development phase," Renewable Energy, Elsevier, vol. 57(C), pages 5-11.
  65. Yougen Cao & Shengce Ren & Mei Du, 2022. "Strategic trademark management: a systematic literature review and prospects for future research," Journal of Brand Management, Palgrave Macmillan, vol. 29(5), pages 435-453, September.
  66. Trautrims, Alexander & MacCarthy, Bart L. & Okade, Chetan, 2017. "Building an innovation-based supplier portfolio: The use of patent analysis in strategic supplier selection in the automotive sector," International Journal of Production Economics, Elsevier, vol. 194(C), pages 228-236.
  67. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
  68. Schmidt, Arne & Walter, Sascha G. & Walter, Achim, 2010. "Contingency Factors and the Technology-Performance-Relationship in Start-ups," EconStor Preprints 37082, ZBW - Leibniz Information Centre for Economics.
  69. Hou, Jianhua & Tang, Shiqi & Zhang, Yang & Song, Haoyang, 2023. "Does prior knowledge affect patent technology diffusion? A semantic-based patent citation contribution analysis," Journal of Informetrics, Elsevier, vol. 17(2).
  70. Xu, Jiuping & Tang, Min & Liu, Tingting & Fan, Lurong, 2024. "Technological paradigm-based development strategy towards natural gas hydrate technology," Energy, Elsevier, vol. 289(C).
  71. Zhang, Dongyang & Zheng, Wenping & Ning, Lutao, 2018. "Does innovation facilitate firm survival? Evidence from Chinese high-tech firms," Economic Modelling, Elsevier, vol. 75(C), pages 458-468.
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